What is the time complexity of the Bellman-Ford algorithm?
An example of an AI chatbot conversation about the time complexity of the Bellman-Ford algorithm.
What is the time complexity of the Bellman-Ford algorithm?
The time complexity of the Bellman-Ford algorithm is O(V * E), where V is the number of vertices and E is the number of edges.
Can you explain why it has that time complexity?
Sure! The algorithm relaxes all edges V-1 times, which leads to the O(V * E) complexity since each relaxation takes O(E) time.
Is it more efficient than Dijkstra's algorithm?
Not necessarily. Dijkstra's algorithm is more efficient for graphs with non-negative weights, with a time complexity of O(E + V log V).
When would you prefer to use Bellman-Ford over Dijkstra?
You would use Bellman-Ford when dealing with graphs that may have negative weight edges, as it can handle those cases.
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